Director of Software Quality

Job Description
Director of Software Quality (Bangalore)
Are you an accomplished engineering leader with a passion for driving excellence in software quality and release readiness? Do you possess deep expertise in automation, cloud-native testing, and leading high-performing quality teams? Join us as we elevate our quality discipline, increase transparency, and modernize our testing approach through AI and automation.

As the Director of Software Quality, reporting directly to the CTO, you will shape our quality strategy, enforce engineering standards, and provide unfiltered visibility into quality risks, defect trends, vulnerabilities, and release readiness. You will partner with Product, Engineering, DevOps, Cloud Operations, and Security to build a scalable, data-driven quality function grounded in proactive risk management. The ideal candidate thinks creatively, applies AI-assisted automation, and increases efficiency without expanding headcount.

Responsibilities

• Lead and mentor a high-performing quality organization focused on automation, operational efficiency, and continuous improvement.
• Collaborate closely with product and engineering to ensure requirements and acceptance criteria are clear, testable, traceable, and complete prior to development.
• Define and steward engineering readiness criteria before work progresses into QA, including unit test completeness, static analysis expectations, and remediation of known defects.
• Champion modern quality engineering best practices, including API/UI testing, scalability, performance, and shift-left approaches, leveraging AI-assisted tooling to elevate coverage and defect detection.
• Partner with DevOps and Cloud Engineering to ensure environment stability, observability, deployment automation, and reliable regression execution, integrating quality automation into CI/CD pipelines.
• Provide comprehensive weekly quality dashboards that surface defect aging, severity, escaped defects, vulnerability backlog, automation coverage, regression outcomes, and release readiness.
• Support release governance by ensuring deployments meet defined quality, security, and operational criteria, collaborating with stakeholders to sequence remediation when necessary.
• Reinforce engineering accountability for unit testing discipline, coding standards, and timely defect remediation, partnering to prevent rework.
• Apply predictive analytics and AI-assisted tooling to identify risk hotspots, prioritize regression tests, cluster failures, and accelerate defect triage.
• Facilitate cross-team collaboration and proactively resolve quality-impacting conflicts, driving alignment and follow-through.
• Promote a culture of learning by upskilling teams in automation, AI-driven testing, and modern quality engineering techniques.
• Continuously evaluate emerging quality innovations to improve engineering efficiency, product stability, and release confidence.

Minimum Qualifications

• Bachelor's degree in Computer Science , Engineering, or a related field, with 15 or more years of industry experience including at least 5 years leading software quality or test automation teams.
• Proven experience building and developing high-performing teams, and improving engineering discipline through measurable outcomes.
• Strong technical background with hands-on experience in test automation development, preferably using TypeScript or Java, and a deep understanding of modern automation frameworks, tooling, and patterns.
• Demonstrated ability to apply AI and machine learning techniques in automated testing, test case generation, failure clustering, predictive analytics, and risk prioritization.
• Strong organizational and delivery skills with the ability to manage multiple projects, releases, and quality gates while maintaining high standards.
• Ability to surface risks early, communicate trends clearly, and provide leaders with accurate visibility into quality signals.
• Assertive leadership that can challenge assumptions when quality or security is at risk, while maintaining productive relationships.
• Ability to influence upstream quality by validating requirements, acceptance criteria, and unit test completeness before work enters QA.
• Strong cross-functional collaboration skills with Engineering, Product, Security, DevOps, and Cloud Operations to resolve quality-impacting friction points.
• Effective conflict resolution skills with the ability to engage early, drive closure, and prevent issues from lingering.
• Data-driven decision-making using defect trends, aging, coverage insights, automation telemetry, and quality metrics.

Preferred Qualifications

• Hands-on experience with BDD, , and UI testing frameworks such as Jest, Mocha, Jasmine, or Cucumber.
• Proficiency with modern automation frameworks including Playwright, Cypress, Puppeteer, or WDIO.
• Experience integrating AI-driven test automation into CI and CD pipelines to increase coverage and reduce manual effort.
• Experience designing or leveraging AI-assisted testing techniques for test case creation from requirements and acceptance criteria.
• Experience building quality dashboards that visualize defect aging, regression outcomes, automation coverage, escaped defects, and vulnerability trends.
• Experience working with globally distributed engineering teams across multiple time zones.

You will also collaborate with Cloud Operations, Business Intelligence, and IT Operations to promote operational quality, strengthen reliability practices, and uplift testing discipline across the broader technology ecosystem.

HYBRID
– This role will be based out of
The Leela Office
located on the 4th Floor, Airport Road, Kodihalli, Bangalore Our expectation at this time, is that you would work from our office on Tuesdays, Wednesdays, Thursdays with flexibility to work from home on Mondays and Fridays.